What you’ll learn
- Three modules cover Copilot-assisted data analysis/forecasting and bias limits, automated charts/dashboards with accessibility review, and report/presentation narratives tailored to technical and nontechnical stakeholders.
- The page frames the course as part of Generative AI for Data Scientists and as a progression from data preparation.
What does the learning look like?
- Six assignments and a peer review are listed.
- Tasks include interpreting datasets, evaluating chart clarity/accessibility, choosing tools, and presenting findings.
Example to try
Connect a repeated task
- 01Start with
A message, form or new file
- 02Make a first pass
A useful record in the next app
- 03Make it yours
Review the result before saving or sending
Use a fictional example to practise the workflow.
Cost, access and setup
Course cost
- Copilot license is a separate software requirement
Check the currency and total with the provider.
Check whether tax is included.
What you’ll need
- Target audience is data analysts, business analysts, operations managers and junior data scientists who regularly handle data.
- Basic spreadsheet/tabular familiarity helps
- No coding or prior AI required.
- Access to Microsoft Copilot is required
- Page says Microsoft 365 Personal/Family license or a 30-day trial is needed.
How you’ll learn
- Three module estimates total 6 hours
- Page does not provide a separate course-level estimate in the saved text.
- Self-paced Coursera course
Certificate
- Shareable Coursera career certificate listed
Help along the way
- Six assignments, one peer review and listed videos/readings
Instructor
- Microsoft is listed as the instructor/provider
- No individual course instructor named.